AWS Lake Formation vs Amazon Redshift comparison

Amazon Redshift and AWS Lake Formation are both solutions in the Cloud Data Warehouse category. Amazon Redshift is ranked #6 with an average rating of 7.9, while AWS Lake Formation is ranked #8 with an average rating of 8.1. Amazon Redshift holds a 7.1% mindshare in CDW, compared to AWS Lake Formation’s 4.4% mindshare. Additionally, 87% of Amazon Redshift users are willing to recommend the solution, compared to 85% of AWS Lake Formation users who would recommend it.

Amazon Redshift

Read 73 Amazon Redshift reviews

4,140 Views
2,857 Comparison Views

87% willing to recommend

AWS Lake Formation

Read 21 AWS Lake Formation reviews

1,793 Views
1,506 Comparison Views

85% willing to recommend

Amazon Redshift

AWS Lake Formation

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Executive SummaryUpdated on Apr 5, 2026

Amazon Redshift and AWS Lake Formation are leading players in the cloud data management and warehousing segment. Redshift appears to have the upper hand in data processing and scalability, while AWS Lake Formation excels in data governance and integration capabilities.

Features: Amazon Redshift offers scalability that supports the handling of petabytes of data, flexible node configuration, and multi-format file compatibility for data reading. Its distributed architecture enhances performance, and its VPC configuration ensures robust security. AWS Lake Formation stands out with its strong data governance capabilities, comprehensive data catalog, and automated data classification. It also effectively integrates with other AWS services for structured dataset management.

Room for Improvement: Amazon Redshift could improve in snapshot restoring speeds for large datasets and efficient data recovery across clusters. There are calls for better OLAP features and enhanced integration with other databases. AWS Lake Formation has limitations in external integration and lacks some advanced data management features, with users desiring improved support in real-time monitoring and audit capabilities.

Ease of Deployment and Customer Service: Amazon Redshift supports public, private, and hybrid cloud deployments, offering flexibility across setups. AWS Lake Formation is mainly utilized in public cloud environments. Both products provide reliable customer support, though advanced help for Redshift requires paid plans, and enhanced support services across AWS can be costly.

Pricing and ROI: Amazon Redshift is seen as cost-effective for larger data scales due to its pay-per-use model but can be expensive for smaller datasets. AWS Lake Formation’s pricing can be complex, influenced by integration with other services like S3, Glue, and Athena. Although Redshift might be more expensive than alternatives, its value increases with data volume. AWS Lake Formation's cost varies based on existing AWS usage, with optimizations necessary to maximize ROI.

To learn more, read our detailed AWS Lake Formation vs. Amazon Redshift Report (Updated: April 2026).

Buyer's Guide

AWS Lake Formation vs. Amazon Redshift

April 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Redshift

Ranking in Cloud Data Warehouse

6th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (5th), Database Management Systems (DBMS) (8th)

AWS Lake Formation

Ranking in Cloud Data Warehouse

8th

Average Rating

8.0

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2026, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.1%, down from 7.2% compared to the previous year. The mindshare of AWS Lake Formation is 4.4%, down from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Warehouse Mindshare Distribution
Product	Mindshare (%)
Amazon Redshift	7.1%
AWS Lake Formation	4.4%
Other	88.5%

Cloud Data Warehouse

Featured Reviews

Hemanthreddy Vakiti

Data Engineer at a tech vendor with 10,001+ employees

Optimized restaurant analytics has driven faster insights and streamlined daily reporting

Amazon Redshift offers massive parallel processing capability, allowing it to handle millions of records, along with integration with other AWS features such as S3 and QuickSight. The column-level storage supports high performance and easy data retrieval compared to other tools. The integration with S3 has helped my team immensely since S3 is our starting source, and the direct integration with Amazon Redshift simplifies the transformation and loading process. Columnar storage has benefited our performance significantly, allowing us to extract specific rows from tables with years of data much faster than other tools with row-level storage. Amazon Redshift has positively impacted our organization by significantly improving query performance and speed. Features such as easy integration with S3 allow us to process millions of records efficiently, ultimately saving us nearly one hour per day for our project.

Read full review

Ciro Baldim Guerra

Sr Analytics Engineer at Itau Unibanco S.A.

Has improved data governance by enabling clear ownership and structured access across teams

In my company, Itaú, we don't utilize all AWS offerings due to rigorous security measures. We operate approximately six to eight months behind other available services. I'm uncertain if gaps exist because of this limitation, though the system functions effectively for us. AWS Lake Formation offers column-level access control for databases, but we haven't implemented this feature either because it hasn't been approved by our compliance, governance, or security areas. In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions. However, I struggle to identify specific improvements needed in AWS Lake Formation.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Amazon Redshift offers a relatively flexible structure...I rate the technical support a nine out of ten."

"We use it to build a data warehouse and a centralized location for all of our data sources, allowing for in-depth analysis by using SQL queries."

"We found AWS Redshift to be the leader in capability and provides an ecosystem of related services from AWS, many of which are free."

"Easy to build out our snowflake design and load data."

"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."

"Data Science and Machine Learning are valuable features."

"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."

"Redshift's versioning and data security are the two most critical features; when migrating into the cloud, it's vital to secure the data, and the encryption and security are there."

More Amazon Redshift pros

"The LF-Tag system with granular permissions was key to the project as a functionality of AWS Lake Formation."

"The most important advantage in using AWS Lake Formation is its ability to connect the data lake to the other technologies in AWS. This is what I advise my clients."

"In the shortest form, what I appreciated about AWS Lake Formation was that the schema definition and data cataloging were quite good."

"The solution is quite good at handling analytics. It's done a good job at helping us centralize them."

"AWS Lake Formation has several valuable features that enhance data management, and one particularly beneficial aspect is how it facilitates better collaboration within data teams."

"We use AWS Lake Formation typically for the data warehouse."

"The solution is quite good at handling analytics."

"The features and capabilities of AWS Lake Formation that I have found most valuable are that it is really convenient to see all the different data assets that were configured and understand who has and what type of service has or does not have access to those services."

More AWS Lake Formation pros

Cons

"Pricing needs improvement as the solution is expensive."

"Migrating data from other data sources can be challenging when you are working with multibyte character sets."

"In our experiments, the handling of unstructured data was not very smooth."

"Amazon should bring more SQL functions that are required in data warehouse implementations."

"Redshift is costly compared to other solutions."

"Sometimes, it's difficult to get the metadata from Redshift."

"The speed of the solution and its portability needs improvement."

"It would be good to see Redshift as a serverless offering."

More Amazon Redshift cons

"I haven't seen any measurable benefits from using AWS Lake Formation, such as time saving, resource saving, or efficiency improvements."

"I would appreciate online support, which I don't have access to in my corporation at the bank, so that is important."

"The initial onboarding process is challenging because creating a plan takes a month to a month and a half to build out."

"The solution could make improvements around orchestration and doing some automation stuff on AWS front automation."

"In our current setup, everyone from my business unit uses the same consumer account. When access is requested for a table, everyone using that business unit account receives access. This could present a security concern, though it benefits new team members who automatically receive all necessary access permissions."

"Information about the pricing, cost, and setup cost of the AWS solutions would be beneficial."

"The main challenge we faced with AWS Lake Formation was related to cross-account sharing. Granting access to other AWS accounts for tables or databases in a different AWS account was somewhat difficult."

"Athena can be a bit clunky when writing queries, indicating a potential enhancement point for easier user interaction with query tools such as DataGrip using provided driver JARs."

More AWS Lake Formation cons

Pricing and Cost Advice

"The best part about this solution is the cost."

"BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge."

"The cost must be improved."

"It's not very pricey compared to other tools. I would rate the price as 5 out of 10."

"Amazon Redshift is an expensive solution. Larger organizations can afford this solution, but smaller businesses would struggle to afford it."

"The part that I like best is that you only pay for what you are using."

"Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products."

"The pricing is reasonable."

More Amazon Redshift pricing and cost advice

"AWS Lake Formation is a bit expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Construction Company

Financial Services Firm

23%

Manufacturing Company

Retailer

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	27
Midsize Enterprise	21
Large Enterprise	29

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	2
Large Enterprise	15

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...

See all answers

What do you like most about Amazon Redshift?

The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.

See all answers

What is your experience regarding pricing and costs for Amazon Redshift?

The pricing of Amazon Redshift is expensive.

See all answers

What is your experience regarding pricing and costs for AWS Lake Formation?

I don't understand much about the pricing of AWS Lake Formation, but I know how to search for the cost of Glue jobs, and I use the calculator in Amazon. I use a tool to preview the cost based on th...

See all answers

What needs improvement with AWS Lake Formation?

Regarding areas of AWS Lake Formation that could be improved or enhanced, I prefer not to answer, mainly because I do not believe that I would be the most valuable person to ask, as I have not used...

See all answers

What is your primary use case for AWS Lake Formation?

My usual use cases for AWS Lake Formation involved securing and governing the data resources that we configured in AWS, but we did not use the analytics or machine learning capabilities specificall...

See all answers

Comparisons

Snowflake vs Amazon Redshift

Compared 14% of the time

Teradata vs Amazon Redshift

Compared 9% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 6% of the time

IBM Db2 Warehouse vs Amazon Redshift

Compared 5% of the time

IBM Db2 Warehouse on Cloud vs Amazon Redshift

Compared 5% of the time

More Amazon Redshift Competitors

Azure Data Factory vs AWS Lake Formation

Compared 13% of the time

Snowflake vs AWS Lake Formation

Compared 13% of the time

Databricks vs AWS Lake Formation

Compared 12% of the time

BigQuery vs AWS Lake Formation

Compared 8% of the time

Amazon EMR vs AWS Lake Formation

Compared 5% of the time

More AWS Lake Formation Competitors

Product Reports

Buyer's Guide

Amazon Redshift

April 2026

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Buyer's Guide

AWS Lake Formation

April 2026

Download AWS Lake Formation product report

Overview

Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

Amazon Redshift Functionalities

Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed.
Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

Reviews from Real Users

“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

Amazon Web Services (AWS)

AWS Lake Formation is a service that makes it easy to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis.

Amazon Web Services (AWS)

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

bp, Cerner, Expedia, Finra, HESS, intuit, Kellog's, Philips, TIME, workday

Buyer's Guide

AWS Lake Formation vs. Amazon Redshift

April 2026

Free Report: AWS Lake Formation vs. Amazon Redshift

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